Senior Data Engineer

collaborative environment to deliver and integrate end to end data solutions. Identifying and addressing technical debt efficiently, continuously improving data processes and workflows for enhanced efficiency. Working collaboratively with business stakeholders and operational teams to resolve issues and minimise the defect backlog. Supporting estimation processes to aid in planning and portfolio management. Keeping abreast of industry technical best practices and new trends, ensuring innovative development of systems to meet organisational immediate and future needs. Knowledge/Experience/Skills: Strong communicator with both technical and non-technical communities Experience of mentoring less-experienced developers Significant hands-on experience with the Azure Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure as Code concepts (Demonstrable Terraform experience a plus) Demonstrable experience of Data Pipeline testing, including automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric or Analytic models Experience of building Machine Learning models Any experience in MLOps or operationalising Machine Learning Knowledge of Data Quality Frameworks in Python Qualifications: Industry focused degree or equivalent working experience Azure certifications are desirable Life, Work and Benefits Arbuthnot Latham is committed to

equal-opportunities for all staff and candidates. We embrace inclusion & diversity and understand why they are critical for the success of our business and people. Competitive salary, pension & holiday allowance Discretionary bonus Market leading maternity/paternity and menopause policies Data Privacy and Reasonable adjustments We take keeping your data security seriously. For more detail on how we may keep your data please refer to our Privacy Notice Reasonable adjustments Please let us know of any adjustments or arrangements that you may need to help you apply to this role or that will help you during the recruitment process. If you wish to discuss any particular requirements or concerns you have because of a disability or medical condition please contact us at #####. Information you provide about any disability or medical condition will remain confidential unless it is necessary to disclose it to other members of staff or outside agencies to ensure the health and safety of yourself and others, or to implement the adjustments you require. In these circumstances we will first discuss with you how and to whom the information may be disclosed. #J-18808-Ljbffr

Asset Alliance Group is part of the Arbuthnot Latham Banking Group. We serve the commercial vehicle, bus, coach, and general asset finance sectors with tailored award-winning lending, contract hire, rental and finance packages. We are a full-service finance and leasing business. Today our group is the UK’s fastest growing commercial vehicle and bus and coach finance and sales company. We have the in-depth knowledge and specialist industry experience to provide an individual finance and asset management solution to all our customers. This role will have a Hybrid working pattern, based in the Asset Alliance Group offices based in either London or Wolverhampton. Job purpose To develop and maintain complex data systems that support the Bank’s operations and reporting needs, ensuring they meet all essential data requirements, following strong engineering and automation best practices and collaborating with the Technical Lead for Data Engineering to develop innovative solutions that address